My research is at the intersection between machine learning and robust control, where I am currently working learning probabilistic robust controllers (a.k.a. policies). I am also activly working on Bayesian optimization in the context of reinforcment learning.

The first part of my PhD took place the Max Planck Institute for Intelligent Systems where I was a member of the Intelligent Control Systems Group. For the second part I was given the opportunity to move to Aachen together with my advisor Prof. Sebastian Trimpe. We are now building up the new Institute for Data Science in Mechanical Engineering. I am an associated student of the International Max Planck Research School for Intelligent Systems IMPRS-IS and my PhD is supported by IAV.

Before joining the Max-Planck Institute for my master thesis and later my PhD in 2018 I studied Computer Science at the University of Lübeck. I obtained my Bachelor’s degree in Electrical Engineering at the BHT Berlin in 2013. In between the two degrees I worked as Software Engineer before returning to academia.